scholarly journals Industry 4.0 Lean Shopfloor Management Characterization Using EEG Sensors and Deep Learning

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2860 ◽  
Author(s):  
Daniel Schmidt ◽  
Javier Villalba Diez ◽  
Joaquín Ordieres-Meré ◽  
Roman Gevers ◽  
Joerg Schwiep ◽  
...  
Keyword(s):  
Deep Learning ◽  
Continuous Improvement ◽  
Balanced Scorecard ◽  
Industry 4.0 ◽  
Transformation Process ◽  
Eeg Signals ◽  
Advantages And Disadvantages ◽  
Non Invasive ◽  
Recorded Data ◽  
The Brain

Achieving the shift towards Industry 4.0 is only feasible through the active integration of the shopfloor into the transformation process. Several shopfloor management (SM) systems can aid this conversion. They form two major factions. The first includes methodologies such as Balanced Scorecard (BSC). A defining feature is rigid structures to fixate on pre-defined goals. Other SM strategies instead concentrate on continuous improvement by giving directions. An example of this group is the “HOSHIN KANRI TREE” (HKT). One way of analyzing the dissimilarities, the advantages and disadvantages of these groups, is to examine the neurological patterns of workers as they are applying these. This paper aims to achieve this evaluation through non-invasive electroencephalography (EEG) sensors, which capture the electrical activity of the brain. A deep learning (DL) soft sensor is used to classify the recorded data with an accuracy of 96.5%. Through this result and an analysis using the correlations of the EEG signals, it has been possible to detect relevant characteristics and differences in the brain’s activity. In conclusion, these findings are expected to help assess SM systems and give guidance to Industry 4.0 leaders.

NON-INVASIVE BCI METHOD: EEG - ELECTROENCEPHALOGRAPHY

2019 ◽  
pp. 139-145
Author(s):  
Selma Büyükgöze
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Electrode Placement ◽  
Eeg Signals ◽  
Non Invasive ◽  
Brain Signals ◽  
Brain States ◽  
The Brain

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.

Sustaining India's Gig Economy in Industry 4.0

2022 ◽  
pp. 172-189
Author(s):  
Vidushi Vatsa ◽  
Ruchika Gupta ◽  
Priyank Srivastava
Keyword(s):  
Labour Market ◽  
Industry 4.0 ◽  
Analytical Framework ◽  
Transformation Process ◽  
Gradual Improvement ◽  
Indian Economy ◽  
Advantages And Disadvantages ◽  
Gig Economy ◽  
Brick And Mortar ◽  
Policy Proposals

Today's corporate landscape is undergoing a transformation process, and India is not untouched by these phases of transition as humans are replaced by computers and brick-and-mortar firms are substituted by e-commerce companies. In the midst of these shifts, issues such as labour dynamics have changed dramatically. One such consequence is the Gig Economy. With the gradual improvement in the labour market and the focus of government on localisation, it remains important to analyse the widespread influence of growing gig culture in making India a self-reliant economy. This chapter of the book therefore seeks to review the different components of the gig economy along with the advantages and disadvantages and how gig can contribute towards a localised and self-reliant Indian economy. The chapter also evaluates the regulatory framework of the gig economy in India. The chapter also proposes a conceptual model incorporating various pillars that could serve as an analytical framework for the rapidly increasing number of concepts and policy proposals.

scholarly journals Early-Stage Pilot Study on Using Fractional-Order Calculus-Based Filtering for the Purpose of Analysis of Electroencephalography Signals

2016 ◽  
Vol 47 (1) ◽  
pp. 103-111 ◽  
Author(s):  
Aleksandra Kawala-Janik ◽  
Waldemar Bauer ◽  
Magda Żołubak ◽  
Jerzy Baranowski
Keyword(s):  
Pilot Study ◽  
Fractional Order ◽  
Early Stage ◽  
Rapid Development ◽  
Eeg Signals ◽  
Fractional Order Calculus ◽  
Non Invasive ◽  
Research Areas ◽  
Fractional Filters ◽  
The Brain

Abstract Analysis of Electroencephalography (EEG) signals has recently awoken the increased interest of numerous researchers all around the world with regard to rapid development of Brain-Computer Interaction-related research areas and because EEG signals are implemented in most of the non-invasive BCI systems, as they provide necessary information regarding activity of the brain. In this paper, a very early stage pilot study on implementation of filtering based on fractional-order calculus (Bi-Fractional Filters – BFF) for the purpose of EEG signal classification is presented in brief.

In vivo measurements of mitochondrial function and cell death following hypoxic/ischaemic damage to the new-born brain

1999 ◽  
Vol 66 ◽  
pp. 123-140 ◽  
Author(s):  
Chris E. Cooper
Keyword(s):  
Cell Death ◽  
Magnetic Resonance ◽  
Mitochondrial Function ◽  
Apoptotic Cell ◽  
Cellular Damage ◽  
Resonance Spectroscopy ◽  
Advantages And Disadvantages ◽  
Non Invasive ◽  
The Brain

Critically impaired gas exchange to the brain due to decreased oxygen (hypoxia) or reduced blood flow (ischaemia) is a major cause of brain injury in the perinatal period. There is an accumulating body of evidence suggesting that the irreversible cellular damage in the neonatal brain that occurs subsequent to an hypoxic/ischaemic insult is at the level of the mitochondria. Much of this evidence has been obtained by novel non-invasive measurements of mitochondrial function in vivo. This review focuses on four techniques: near-infrared spectroscopy, magnetic resonance spectroscopy, magnetic resonance imaging and electron paramagnetic resonance spectroscopy. The advantages and disadvantages of these in vivo methods are described in patients and animal models. The picture that emerges is of a slow (1-2 day) energy failure, occurring at the level of the brain mitochondria and leading to a primarily apoptotic cell death. Moderate post-insult hypothermia prevents this damage by an unknown mechanism. It is stressed that isolated cell studies alone are not sufficient to understand the processes occurring at the biochemical and physiological levels. The use of the non-invasive techniques described to understand the biochemistry occurring in vivo is therefore an invaluable aid in integrating cellular and organismal studies of the role of mitochondria in cell death.

Integration of continuous improvement strategies with Industry 4.0: a systematic review and agenda for further research

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
S. Vinodh ◽  
Jiju Antony ◽  
Rohit Agrawal ◽  
Jacqueline Ann Douglas
Keyword(s):  
Conceptual Framework ◽  
Continuous Improvement ◽  
Industry 4.0 ◽  
Design Methodology ◽  
Lean Six Sigma ◽  
Practical Application ◽  
Content Type ◽  
Advantages And Disadvantages ◽  
Major Transformation ◽  
Practical Implications

PurposeThe purpose of this paper is to provide a review of the history, trends and needs of continuous improvement (CI) and Industry 4.0. Four strategies are reviewed, namely, Lean, Six Sigma, Kaizen and Sustainability.Design/methodology/approachDigitalization and CI practices contribute to a major transformation in industrial practices. There exists a need to amalgamate Industry 4.0 technologies with CI strategies to ensure significant benefits. A systematic literature review methodology has been followed to review CI strategy and Industry 4.0 papers (n = 92).FindingsVarious frameworks of Industry 4.0, their advantages and disadvantages were explored. A conceptual framework integrating CI strategies and Industry 4.0 is being presented in this paper.Practical implicationsThe benefits and practical application of the developed framework has been presented.Originality/valueThe article is an attempt to review CI strategies with Industry 4.0. A conceptual framework for the integration is also being presented.

scholarly journals SQL and NoSQL Databases in the Context of Industry 4.0

2021 ◽  
Author(s):  
Vitor Furlan de Oliveira ◽  
Marcosiris Amorim de Oliveira Pessoa ◽  
Fabrício Junqueira ◽  
Paulo Eigi Miyagi
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Industry 4.0 ◽  
Transformation Process ◽  
Data Models ◽  
Technological Transformation ◽  
Nosql Databases ◽  
Five Dimensions ◽  
Advantages And Disadvantages ◽  
Logical Data

The data-oriented paradigm has proven to be fundamental for the technological transformation process that characterizes Industry 4.0 (I4.0) so that Big Data & Analytics is considered a technological pillar of this process. The literature reports a series of system architecture proposals that seek to implement the so-called Smart Factory, which is primarily data-driven. Many of these proposals treat data storage solutions as mere entities that support the architecture's functionalities. However, choosing which logical data model to use can significantly affect the performance of the architecture. This work identifies the advantages and disadvantages of relational (SQL) and non-relational (NoSQL) data models for I4.0, taking into account the nature of the data in this process. The characterization of data in the context of I4.0 is based on the five dimensions of Big Data and a standardized format for representing information of assets in the virtual world, the Asset Administration Shell. This work allows identifying appropriate transactional properties and logical data models according to the volume, variety, velocity, veracity, and value of the data. In this way, it is possible to describe the suitability of SQL and NoSQL databases for different scenarios within I4.0.

scholarly journals Analysing EEG signals for mathematical computations

2019 ◽  
Vol 292 ◽  
pp. 01043
Author(s):  
Martin Strmiska ◽  
Zuzana Koudelkova
Keyword(s):  
Brain Activity ◽  
Gaussian Elimination ◽  
Practical Method ◽  
System Of Equations ◽  
Eeg Signals ◽  
Mathematical Methods ◽  
Scanning Method ◽  
Non Invasive ◽  
Solving Equations ◽  
The Brain

Brain computer interface (BCI) is a device that allows us to scan brainwaves. Achieved signals can be processed using a computer and the analyzed brain activity can be than monitored. In this paper, the use of the non-invasive brain scanning method applied on person at solving a system of equations is described. This solving the system of equations was obtained by two mathematical methods. The measurement was performed for solving equations by Gaussian elimination and by substitution methods separately. The results of the measurements were visualized by graphing the brain activity. The aim of the work is to determine the more practical method of those two.

SYNERGETIC EFFECT FROM THE APPLICATION OF THE CONCEPTS OF "LEAN PRODUCTION" AND "INDUSTRY 4.0" FOR ENTERPRISES IN THE TRANSPORT INDUSTRY

2017 ◽  
Author(s):  
Yuliia Sorokun ◽  
Keyword(s):  
Continuous Improvement ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Lean Production ◽  
Synergetic Effect ◽  
Flexible System ◽  
Advantages And Disadvantages ◽  
Use Of Resources ◽  
Transport Industry ◽  
The Relationship

Abstract the philosophy of lean production, which consists of optimizing production processes, eliminating losses, improving the quality of goods and services, customer satisfaction, and continuous improvement, is extremely relevant today. Also, this concept is very consonant with the latest industrial revolution - Industry 4.0 (or the Fourth Industrial Revolution), which aims to make the transition from conventional automation of production, the use of information technology in production (which were the essence of the third industrial revolution) to the network of resources, information flows, objects and people. The purpose of this study was to examine the relationship between lean production paradigms and Industry 4.0. Both concepts with their tools were analyzed, their influence on each other was discovered and the possibility of integrating lean production methods with technologies of Industry 4.0 was considered on the basis of enterprises of the transport industry. This article proposes to consider the concepts of "Lean Production" and "Industry 4.0" as separate areas of enterprise development, describing its advantages and disadvantages, and the search for empirical evidence of the relationship between them. The tools and methods of the concepts of Lean Production and Industry 4.0 are investigated and compared to find the main similar and different technological characteristics. The compatibility of concepts due to the similarity of goals and principles of paradigms is considered, in particular, efficient use of resources and minimization of losses, continuous improvement, and use of technologies to automate processes. The possibility of combining the advantages of each concept to create a common flexible system to increase the efficiency of transport enterprises and the transport industry as a whole was assessed.

scholarly journals SQL and NoSQL Databases in the Context of Industry 4.0

Machines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 20
Author(s):  
Vitor Furlan de Oliveira ◽  
Marcosiris Amorim de Oliveira Pessoa ◽  
Fabrício Junqueira ◽  
Paulo Eigi Miyagi
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Intelligent Manufacturing ◽  
Transformation Process ◽  
Data Models ◽  
Nosql Databases ◽  
Advantages And Disadvantages ◽  
Logical Data

The data-oriented paradigm has proven to be fundamental for the technological transformation process that characterizes Industry 4.0 (I4.0) so that big data and analytics is considered a technological pillar of this process. The goal of I4.0 is the implementation of the so-called Smart Factory, characterized by Intelligent Manufacturing Systems (IMS) that overcome traditional manufacturing systems in terms of efficiency, flexibility, level of integration, digitalization, and intelligence. The literature reports a series of system architecture proposals for IMS, which are primarily data driven. Many of these proposals treat data storage solutions as mere entities that support the architecture’s functionalities. However, choosing which logical data model to use can significantly affect the performance of the IMS. This work identifies the advantages and disadvantages of relational (SQL) and non-relational (NoSQL) data models for I4.0, considering the nature of the data in this process. The characterization of data in the context of I4.0 is based on the five dimensions of big data and a standardized format for representing information of assets in the virtual world, the Asset Administration Shell. This work allows identifying appropriate transactional properties and logical data models according to the volume, variety, velocity, veracity, and value of the data. In this way, it is possible to describe the suitability of relational and NoSQL databases for different scenarios within I4.0.

DEVELOPMENT OF A DEVICE FOR NONINVASIVE MEASUREMENTS OF HEMOGLOBIN IN BRAIN TISSUE

2020 ◽  
pp. 87-91
Author(s):  
Полина Темировна Хомякова ◽  
Аза Валерьевна Писарева ◽  
Александр Петрович Николаев
Keyword(s):  
Near Infrared ◽  
Diagnostic System ◽  
Cerebral Oximetry ◽  
Tissue Respiration ◽  
Percentage Content ◽  
Noninvasive Measurements ◽  
Advantages And Disadvantages ◽  
Non Invasive ◽  
The Brain ◽  
Invasive Measurement

Данная статья посвящена разработке устройства для неинвазивного измерения процентного содержания гемоглобина в крови с целью выявления гипоксии. Наиболее перспективным методом изучения процессов тканевого дыхания в головном мозге и непосредственного интраоперационного мониторинга церебральной гипоксии считается метод церебральной оксиметрии или спектроскопии в ближнем инфракрасном спектре. Показаны преимущества и недостатки данного метода. Целью настоящей работы является создание тканевого оксиметра для неинвазивного измерения процентного содержания гемоглобина в крови с целью идентификации гипоксии головного мозга у человека. Разрабатываемое устройство в дальнейшем планируется использовать для диагностики ишемического инсульта. Прототип этого устройства был основан на диагностической системе Oxiplex TS от ISS, Inc. Изучение прототипа разрабатываемого устройства показывает, что недостатки конструкции влияют на измерительные функции устройства. В ходе работы исследовательской группой была собрана опытная модель, которая нам позволила провести первые измерения для проверки работоспособности разработанного устройства. Результаты эксперимента показали, что входящий сигнал имеет широкий разброс изменчивости параметров, необходимых для измерения микроциркуляции крови, но компонент импульса может быть измерен точно This article deals with the development of a device for noninvasive measurement of the percentage content of hemoglobin in the blood to detect hypoxia. As a promising method of studying the processes of tissue respiration in the brain and direct intraoperative monitoring of cerebral hypoxia is a method of cerebral oximetry or spectroscopy in the near infrared spectrum. The advantages and disadvantages of this method. The aim of this work is the creation of a tissue oximeter for non-invasive measurement of the percentage content of hemoglobin in the blood to identify hypoxia. The device is planned to be used for the diagnosis of ischemic stroke. A prototype of this device was based on the diagnostic system from the ISS Oxiplex TS, Inc. Analysis of the prototype showed that the design flaws affect the measurement functions of the device. In the course of work of the study group collected a model that allowed us to conduct the first measurement to verify that the developed device. The results of the experiment showed that the incoming signal has a wide spread of variability of parameters needed to measure the microcirculation of blood, but the momentum component can be measured accurately

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